Synergistic effect of gamma irradiation and proper packaging for the control of insects in smoked shrimps (Penaeus notialis) from three different water bodies in Ghana
Bibliographic record
Abstract
Damage caused to stored dried shrimps by insect pests is problematic and are often underestimated. The incubation, identification, and control of these insect pests which infest shrimps from three water sources; sea, lagoon, and river were evaluated according to standard procedures of the Entomological Society of Canada. Exposure to gamma ionizing radiation was undertaken from a Cobalt 60 source (SL 515, Hungary) and radiation doses of 0, 4, 8, and 10 kGy at a rate of 1.7 kGy/hr were used. The hidden insects identified were Necrobia rufipes (Copra beetle), Dermestes maculatus De Geer (Hide beetle), and a mite Lardoglyphus sp. belonging to the family Acaridae in the mite group Astigmata. An after-feeding test on shrimps by insects revealed a weight reduction by 17%, 14%, and 26% for sea, lagoon, and riverine shrimps respectively. These observations were statistically significant at p ≤ 0.05 level. After 2 months of storage there was generally a 43.0 % reduction in weight which was significantly different (p ≤ 0.05) from the initial weight. Moisture sorption isotherms of dehydrated shrimps were also checked at 20, 55, 65, 75, 85, and 95% of Effective Relative Humidity (EHR) and revealed a general trend of sigmoid shape. The prescribed dose of 8–10 kGy was able to kill all insects and rendered the product insect-free in airtight dense polypropylene containers used in these investigations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".